PVcase Yield is a cloud-based energy modeling platform designed for solar photovoltaic (PV) projects. It enables developers, engineers, and asset managers to simulate, forecast, and optimize the energy yield of solar installations. By leveraging digital twin technology, advanced physics-based modeling, and machine learning, PVcase Yield delivers accurate, real-world performance simulations for any PV technology or site. The platform integrates seamlessly with PV design tools, automates complex calculations, and provides detailed, customizable reports to support decision-making throughout the solar project lifecycle

Key Features

Digital Twin Technology Creates a virtual replica of the PV system for high-fidelity performance simulation.

• Replicates real-world site conditions, including terrain and layout.
• Supports complex and bifacial PV system modeling.

Advanced 3D Ray Tracing & Physics-Based Modeling Simulates solar irradiance and shading with high accuracy.

• Models reflections, shading, and terrain effects in detail.
• Enables precise loss and yield calculations.

Cloud-Based Parallel Simulations Processes large and complex projects quickly.

• Uses cloud computing for rapid, scalable simulations.
• Reduces time-to-result for large utility-scale projects.

Seamless Design Integration Imports design data directly from PVcase design tools.

• No manual data re-entry required.
• Maintains data integrity across project stages.

Automated Reporting & Visualization Generates detailed, customizable reports and 3D layouts.

• Visualizes terrain, layouts, and simulation results.
• Shares clear outputs with stakeholders.

Machine Learning Optimization Enhances simulation speed and accuracy.

• Learns from project data to improve forecasts.

Benefits

Accurate Yield Forecasting Delivers reliable performance and financial projections.

• Reduces risk of under- or over-estimation.
• Supports project financing and investment decisions.

Workflow Efficiency Automates and streamlines the yield simulation process.

• Eliminates manual workarounds and repetitive data entry.
• Accelerates project timelines and reduces engineering hours.

Data-Driven Decision Making Provides transparent, evidence-based insights.

• Facilitates site selection, design optimization, and asset management.
• Enables rapid scenario analysis for informed choices